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A novel reliability allocation approach using the OWA tree and soft set

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  • Kuei-Hu Chang

    (R.O.C. Military Academy)

Abstract

Reliability allocation is a crucial task in product design and development, directly influencing the quality and market competitiveness of a product. Traditional techniques for allocation of product reliability include the equalized allocation, ARINC, and AGREE allocation methods. Although these methods are simple and widely used in industry, they do not perform simultaneous allocation of the reliability of root and leaf nodes. Moreover, situations arise in the initial stages of product design in which there is incomplete information, increasing the difficulty of reliability allocation, can not be solved effectively using traditional reliability allocation methods. To resolve these issues, this paper integrates the ordered weighted averaging tree and soft set approach with regard to flexible allocation product reliability. To verify the proposed approach, a numerical example of a thin-film transistor liquid crystal display product is adopted. This paper also compares the results of the simulation with those of the equalized allocation, ARINC allocation, and AGREE allocation methods in dealing with incomplete information. The results demonstrate that the proposed method is more flexible and does not lose any valuable information that is provided by experts.

Suggested Citation

  • Kuei-Hu Chang, 2016. "A novel reliability allocation approach using the OWA tree and soft set," Annals of Operations Research, Springer, vol. 244(1), pages 3-22, September.
    • Handle: RePEc:spr:annopr:v:244:y:2016:i:1:d:10.1007_s10479-016-2178-4
    DOI: 10.1007/s10479-016-2178-4
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    References listed on IDEAS

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    1. Duan Li & Xiaoling Sun & Ken McKinnon, 2005. "An Exact Solution Method for Reliability Optimization in Complex Systems," Annals of Operations Research, Springer, vol. 133(1), pages 129-148, January.
    2. Kim, Kyungmee O. & Yang, Yoonjung & Zuo, Ming J., 2013. "A new reliability allocation weight for reducing the occurrence of severe failure effects," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 81-88.
    3. B. Ahn & S. Choi, 2012. "Aggregation of ordinal data using ordered weighted averaging operator weights," Annals of Operations Research, Springer, vol. 201(1), pages 1-16, December.
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    Cited by:

    1. Kuei-Hu Chang, 2019. "A novel supplier selection method that integrates the intuitionistic fuzzy weighted averaging method and a soft set with imprecise data," Annals of Operations Research, Springer, vol. 272(1), pages 139-157, January.
    2. Hong-Bin Yan & Tieju Ma & Songsak Sriboonchitta & Van-Nam Huynh, 2017. "A stochastic dominance based approach to consumer-oriented Kansei evaluation with multiple priorities," Annals of Operations Research, Springer, vol. 256(2), pages 329-357, September.

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